
import pandas as pd
import plotly.express as px
from IPython.display import display

from lib import load_adi_all_states, us_adi_zip5_stats, draw_us_adi_distribution, draw_adi_map

us_adi = load_adi_all_states(False)
draw_us_adi_distribution(us_adi)
adi_stats = us_adi_zip5_stats(us_adi)
display(adi_stats)
draw_adi_map(adi_stats)

	_state	_zip5	count	min	max	adi_mean	std	_lat	_lng	_census_total
0	AK	99501	2988	7.0	97.0	33.152276	18.076871	61.219998	-149.857840	17603
1	AK	99502	2745	11.0	43.0	24.122404	8.677508	61.163652	-149.996643	24168
2	AK	99503	2524	10.0	72.0	39.593502	8.925617	62.043689	-158.174466	14563
3	AK	99504	3420	19.0	98.0	36.341228	16.996213	61.190578	-149.607154	40914
4	AK	99505	1020	31.0	31.0	31.000000	0.000000	61.284745	-149.653973	6174
...	...	...	...	...	...	...	...	...	...	...
31741	WY	83124	267	38.0	74.0	48.921348	16.580783	41.758808	-110.315880	137
31742	WY	83126	281	33.0	33.0	33.000000	0.000000	42.581108	-110.904209	334
31743	WY	83127	1689	27.0	39.0	36.278863	4.083667	42.918972	-110.997753	3041
31744	WY	83128	892	23.0	44.0	42.233184	5.224854	43.040079	-110.722208	1601
31745	WY	83414	111	3.0	22.0	3.171171	1.803400	43.861439	-110.935725	544